Abstract

Call for Papers AI Applications for the Detection of Earth Science Phenomena AI Applied to Airborne or Spaceborne Earth Observation Datasets AI and Climate: Impact and Opportunities AI for Decision Support AI for Earth: Building an Extensible, Distributed API Pipeline Platform for Artificial Intelligence AI for Environmental Science AI in Radar Observations Advances in the Use of Artificial Intelligence Techniques in Support of Aviation, Range, and Aerospace Meteorology Applications of Machine Learning in Earth System Modeling Artificial Intelligence Applications in the Coastal Environment Big Data, Big Computing, Bigger Science: High-Performance Computing enabled Artificial Intelligence Deep Learning Applications for Environmental Science Environet High Impact Weather Prediction with AI History of Women in Statistics and AI History of the AMS AI Committee History of women in Prob/Stat and AI How Artificial Intelligence at Scale Will Link Weather and Climate Data to Society Hybrid deep learning/statistical approaches Incorporating Data Science and Machine Learning into Atmospheric Science Education Interpretable Machine Learning Machine Learning Applications in the Energy Sector; Machine Learning for Subgrid Parameterization in Weather and Climate Models Machine Learning for Subseasonal to Seasonal Prediction Physical interpretability in machine learning Rise of the Machines!! Machine Learning and AI for Space Weather; Societal and Economic Impacts of AI The Future of AI in Environmental Science Tropical Cyclone Analysis and Prediction with Machine Learning Uncertainty Quantification with Machine Learning Weather Forecasting based on blending of Machine Learning and Numerical Models Transitioning Artificial Intelligence (AI) Prediction Systems to Operations